Cerebral Tumours Pilot - Romania

Our Pilot

This pilot study aims to assess the degree to which an integrated regional repository for brain tumors’ patients’ data can meet the criteria of a Data Space, as outlined in the D3.2 methodology.

By enabling a common database in which all of the tumor characteristics are present (for clinical to radiological and histopathological data), it will be easier to conduct a proper evaluation of each individual case, especially when the patient has to be moved from one hospital to another, and would also allow us to create different statistical data derived by it.

At the same time, a centralized repository would provide clinicians with enough knowledge of our geographical underlying mutational brain tumor, and the possibility to conduct retrospective studies, identifying new prognostic factors or correlation between different tumor characteristics (mutation, site, clinic aspects, imaging findings).

For researchers, integrating medical data creates an invaluable resource. With access to large, diverse datasets, machine learning algorithms could be trained to detect tumors early, classify them more accurately, and optimize treatments.

Cerebral Tumor study has 3 scenarios taken into consideration:

Scenario 1: Retrospective observational study on Tumor Grading Correlation. 

Steps:

• Retrospectively collect imaging and histopathological data treated in one hospital in the last 5 years;

Scenario 2: Prospective observational study in tumor progression.

  Steps:

• Retrospectively collect imaging and histopathological data treated in one hospital in the last 5 years;
• Prospectively collect treatment data and imaging data during treatment;

Scenario 3: Real-time data transfer and consultations across two hospitals for patients diagnosed with brain tumours.

Steps:

• Implementing a secure share space for healthcare providers for faster diagnosis.
• Ensure interoperability between two hospitals: Emergency Hospital “Prof. Dr. N. Oblu” Iasi and Institute of Oncology from Iasi.

The participants:

Data providers:

• Emergency Hospital “Prof. Dr. N. Oblu” Iasi – Radiology Department via Profesor Dr. Danisia Haba
• Institute of Oncology from Iasi

Infrastructure and service provider:

• IMAGO-MOL Cluster – MEDIMAG-IA hardware infrastructure 
• Skyer Medical Imaging/Biotronics3D – 3Dnet platform (software platform)
• “Gheorghe Asachi “Technical University of Iasi – co-locating the hardware infrastructure

Data consumers:

1st and 2nd scenarios (research purpose)

• Emergency Hospital “Prof. Dr. N. Oblu” Iasi – medical staff that meets the criteria for accessing the repository – Regional Medical Data Hub for Brain Tumors.
• Institute of Oncology from Iasi – medical staff that meets the criteria for accessing the repository – Regional Medical Data Hub for Brain Tumors.

Researchers – IMAGO-MOL members such as the University of Medicine and Pharmacy Grigore T.Popa of Iasi

3rd scenario (interconnectivity purpose)

• Emergency Hospital “Prof. Dr. N. Oblu” Iasi – medical staff that meets the criteria for accessing the repository – Regional Medical Data Hub for Brain Tumors.
• Institute of Oncology from Iasi – medical staff that meets the criteria for accessing the repository – Regional Medical Data Hub for Brain Tumors.